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Models/V2F-Net

V2F-Net

Reported on 20 benchmarks across 5 tasks · 1 paper · 15 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology16 results

  • 3DonCrowdHuman (full body)
    AP· 2021-04-07
    91.03
    best: 97.2 (InternImage-H)
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 3DonCrowdHuman (full body)
    Recall· 2021-04-07
    84.2
    best: 98.7 (DDQ DETR (R50))
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 3DonCityPersons
    mMR· 2021-04-07
    10.08
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D ClassificationonCrowdHuman (full body)
    AP· 2021-04-07
    91.03
    best: 97.2 (InternImage-H)
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D ClassificationonCrowdHuman (full body)
    Recall· 2021-04-07
    84.2
    best: 98.7 (DDQ DETR (R50))
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D ClassificationonCityPersons
    mMR· 2021-04-07
    10.08
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D Object DetectiononCrowdHuman (full body)
    AP· 2021-04-07
    91.03
    best: 97.2 (InternImage-H)
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D Object DetectiononCrowdHuman (full body)
    Recall· 2021-04-07
    84.2
    best: 98.7 (DDQ DETR (R50))
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D Object DetectiononCityPersons
    mMR· 2021-04-07
    10.08
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 16konCrowdHuman (full body)
    AP· 2021-04-07
    91.03
    best: 97.2 (InternImage-H)
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 16konCrowdHuman (full body)
    Recall· 2021-04-07
    84.2
    best: 98.7 (DDQ DETR (R50))
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 16konCityPersons
    mMR· 2021-04-07
    10.08
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 3DonCrowdHuman (full body)
    mMR· 2021-04-07
    42.28
    best: 50.49 (Faster RCNN (ResNet50))
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D ClassificationonCrowdHuman (full body)
    mMR· 2021-04-07
    42.28
    best: 50.49 (Faster RCNN (ResNet50))
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 2D Object DetectiononCrowdHuman (full body)
    mMR· 2021-04-07
    42.28
    best: 50.49 (Faster RCNN (ResNet50))
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • 16konCrowdHuman (full body)
    mMR· 2021-04-07
    42.28
    best: 50.49 (Faster RCNN (ResNet50))
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106

Computer Vision4 results

  • Object DetectiononCrowdHuman (full body)
    AP· 2021-04-07
    91.03
    best: 97.2 (InternImage-H)
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • Object DetectiononCrowdHuman (full body)
    Recall· 2021-04-07
    84.2
    best: 98.7 (DDQ DETR (R50))
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • Object DetectiononCityPersons
    mMR· 2021-04-07
    10.08
    SOTA
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106
  • Object DetectiononCrowdHuman (full body)
    mMR· 2021-04-07
    42.28
    best: 50.49 (Faster RCNN (ResNet50))
    V2F-Net: Explicit Decomposition of Occluded Pedestrian DetectionarXiv:2104.03106